plant irrigation by water sprinkler robot using NODEMCU

1. VISVESVARAYA TECHNOLOGICAL UNIVERSITY
Jnana Sangama, Belgaum-590014
KNS INSTITUTE OF TECHNOLOGY
DEPARTMENT OF MECHANICAL ENGINEERING
PROJECT SEMINAR ON
“PLANT IRRIGATION BY WATER SPRINKLER ROBOT”
Under the Guidance of Made by
SHARANAPPA .A.G HIMANSHU 1KN15ME013
Asst. Proff. KNSIT ASHISH 1KN15ME009
ABHISHEK YN 1KN15ME003

2. ABSTRACT
• Indian agriculture is diverse ranging from impoverished farm villages to developed farms
utilizing modern agricultural technologies.
• This system provides an intelligent monitoring platform framework and system structure for
facility agriculture ecosystem based on IOT.
• This also provides opportunity for creating new technology and service development in IOT
(internet of things) farming application.
• The Indian population has tripled, but food grain production more than quadrupled there has
thus been a substantial increase in available food grain per ca-pita.
• So we have brought-in an innovative project for the welfare of farmers and also for the
farms. There are no day or night restrictions. This is helpful at any time.

3. INTRODUCTION
• Smart Agriculture developing model is a real time monitoring system
• It monitor the soil properties like temperature, humidity soil moisture PH etc.
• It is possible to control many operations of the field remotely from anywhere, anytime by
IOT.
• It offers a futuristic way of life in which an individual gets to control his electronic devices
using a smart phone, it also offers an efficient use of energy.
• It applied in all areas of industry, including smart agriculture, smart parking, smart building
environmental monitoring, healthcare transportation and many more.

4. LITERATURE REVIEW
• J. M. Corchado, J. Bajo, D. I. Tapia, and A. Abraham: A simple approach to Irrigation
control problem using Artificial Neural Network Controller. The proposed system is
compared with ON/OFF controller and it is shown that ON/OFF Controller based System
fails miserably because of its limitations.
• A. Carullo, S.Corbellini, M. Parvis, and A. Vallan : A system that provides this ability -
through the use of efficient and reliable methods is certain to help the farmers get a better
yield and on a larger scale, help the agricultural and economic growth of the country.
• D.-M. Han and J.-H. Lim : Water is polluted due to wastage and contaminants in the
industries. Saving water is more important. This ultimate aim can be achieved by using the
exiting ANN control system. It will provide a way to save flood water in the fields for future
irrigation purpose.
• C. Gomez and J. Paradells: Computerized expert systems cover a broad area of farming but
their number and complexity vary considerably from country to country.

5. PREVIOUS TECHNIQUES

6. METHODOLOGY

7. WORKING PRINCIPLE
• A battery powers the entire unit including the D.C. motors, pump, sensors and micro-
controller. As soon as the sprayer is turned on the vehicle starts moving and spraying.
• The vehicle is controlled by wirelessly via Wi-Fi and pump sprayer ON/OFF is controlled by
wirelessly, user can control Vehicle motion like FORWARD ,LEFT ,RIGHT & STOP
wirelessly.
• The vehicle receives a command to turn right - In this case the relays which were initially in
normally closed position get switched and the relay controlling the right motor and wheel
goes to open condition, thus shutting off the right motor. Thus facilitating a right turn.
• The vehicle receives a command to turn left - In this case the relays which were initially in
normally closed position get switched and the relay controlling the left motor and wheel goes
to open condition, thus shutting off the left motor. Thus facilitating a left turn.

8. MAIN PARTS OF THE SYSTEM
• Node MCU: Node MCU is an open source IoT platform. It includes firmware
which runs on the ESP8266 Wi-Fi SoC from Expressive Systems, and hardware
which is based on the ESP-12 module.
• Arduino Nano: The Arduino Nano is a small, complete, and breadboard-friendly
board based on the ATmega328 or ATmega168.
• Relay Module: A relay is an electrically operated switch.
• Moisture Sensor: A simple soil moisture sensor for gardeners. Soil moisture
sensors measure the volumetric water content in soil.

9. OUTLINE OF THE MODEL

10. ADVANTAGES
• Smart Irrigation
• Irrigation at very low cost
• Reduces human effort
• Time saving
• Effective and work efficiency increases

11. APPLICATIONS
• This system is an advanced version of the robotics technology where we are using the robot
for monitoring the condition of the crop.
• As in these days we can’t go and see the condition of the crop regularly we can verify the
condition in our PC by sitting at our house.
• This kind of systems can also be used in industrial systems for frequent monitoring and also
for controlling the system.

12. WORK PLAN

13. IMPORTANCE OF SMART FARMING IN FUTURE
• The system had been successfully designed for
monitoring the condition of the crop regularly by using
robot as it continuously moves with in the field and we
can see the condition of the crop in our PC.
• The automated irrigation system developed proves that
the use of water can be diminished for a given amount
of fresh biomass production.
• Besides the monetary savings in water use, the
importance of the preservation of this natural resource
justify the use of this kind of irrigation systems

14. CONCLUSION
• The smart agriculture using IOT has been experimentally proven to work satisfactorily by
monitoring the values of moisture successfully. Through the internet control the motor in the
field.
• It also stores the sensor parameters in the timely manner.
• This will help the user to analyze the conditions of various parameters in the field anytime
anywhere.
• Finally, we conclude that automatic irrigation system is more efficient than scheduled
irrigation process.

15. REFERENCES
• Sirsath N. S, Dhole P. S, Mohire N. P, Naik S. C &Ratnaparkhi N.S, “SMART
AGRICULTURE USING Cloud Network and Mobile Devices”.
• Das, S.R., Chita, S., Peterson, N., Shirazi, B.A., Bhadkamkar, M., “Home automation and
security for mobile devices,” IEEE PERCOM Workshops, pp. 141- 146, 2011.
• S.D.T. Kelly, N.K. Suryadevara, S.C. Mukhopadhyay, “Towards the Implementation of IoT for
Environmental Condition Monitoring in Homes”, IEEE, Vol. 13, pp. 3846-3853, 2013.
• Nicholas D., Darrell B., Somsak S., “Home Automation using Cloud Network and Mobile
Devices”, IEEE Southeastcon 2012, Proceedings of IEEE.
• Lin Yuanguai. An Intelligent Monitoring System for Agriculture Based on ZigBee Wireless
Sensor Network Journal. Advanced Materials Research, Manufacturing Science and
Technology, Vols.383~399:4358 ~4364, 2011.

16. THANK
YOU